-
Park, J.-r.: Cross-lingual name and subject access : mechanisms and challenge (2007)
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- Date
- 10. 9.2000 17:38:22
-
Dilevko, J.; Dali, K.: ¬The challenge of building multilingual collections in Canadian public libraries (2002)
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- Date
- 10. 9.2000 17:38:22
-
Wandeler, J.: Comprenez-vous only Bahnhof? : Mehrsprachigkeit in der Mediendokumentation (2003)
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- Date
- 22. 4.2003 12:09:10
-
Subirats, I.; Prasad, A.R.D.; Keizer, J.; Bagdanov, A.: Implementation of rich metadata formats and demantic tools using DSpace (2008)
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- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Bellaachia, A.; Amor-Tijani, G.: Proper nouns in English-Arabic cross language information retrieval (2008)
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- Abstract
- Out of vocabulary words, mostly proper nouns and technical terms, are one main source of performance degradation in Cross Language Information Retrieval (CLIR) systems. Those are words not found in the dictionary. Bilingual dictionaries in general do not cover most proper nouns, which are usually primary keys in the query. As they are spelling variants of each other in most languages, using an approximate string matching technique against the target database index is the common approach taken to find the target language correspondents of the original query key. N-gram technique proved to be the most effective among other string matching techniques. The issue arises when the languages dealt with have different alphabets. Transliteration is then applied based on phonetic similarities between the languages involved. In this study, both transliteration and the n-gram technique are combined to generate possible transliterations in an English-Arabic CLIR system. We refer to this technique as Transliteration N-Gram (TNG). We further enhance TNG by applying Part Of Speech disambiguation on the set of transliterations so that words with a similar spelling, but a different meaning, are excluded. Experimental results show that TNG gives promising results, and enhanced TNG further improves performance.
-
Pirkola, A.; Puolamäki, D.; Järvelin, K.: Applying query structuring in cross-language retrieval (2003)
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- Abstract
- We will explore various ways to apply query structuring in cross-language information retrieval. In the first test, English queries were translated into Finnish using an electronic dictionary, and were run in a Finnish newspaper database of 55,000 articles. Queries were structured by combining the Finnish translation equivalents of the same English query key using the syn-operator of the InQuery retrieval system. Structured queries performed markedly better than unstructured queries. Second, the effects of compound-based structuring using a proximity operator for the translation equivalents of query language compound components were tested. The method was not useful in syn-based queries but resulted in decrease in retrieval effectiveness. Proper names are often non-identical spelling variants in different languages. This allows n-gram based translation of names not included in a dictionary. In the third test, a query structuring method where the Boolean and-operator was used to assign more weight to keys translated through n-gram matching gave good results.
-
Dini, L.: CACAO : multilingual access to bibliographic records (2007)
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- Content
- Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
-
Capstick, J.: ¬A system for supporting cross-lingual information retrieval (2000)
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-
Ulrich, P.S.: Multilinguale kollaborative Auskunftsdienste mit QuestionPoint (2005)
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- Abstract
- Besucht jemand eine Bibliothekswebseite und möchte dort eine Frage stellen, wird er in der ganzen WeIt mit einer ähnlichen Situation konfrontiert: die Seiten werden nur in der/(den) Landessprache(n) der Bibliothek und vielleicht in einer anderen Sprache - meist Englisch - angeboten. Wenn der Besucher die auf diesen Seiten verwendeten Sprachen nicht kennt, ist der vermittelte Eindruck: "Wir können Deine Frage nicht verstehen. Wenn Du nicht diese Sprache für Deine Frage verwendest, wird Deine Frage nicht beantwortet." In einer WeIt, in der man zunehmend versucht Barrieren zu reduzieren bzw. abzuschaffen, sollten sich Bibliotheken fragen, ob es nicht Möglichkeiten gibt, die vorhandene sprachliche Barriere abzubauen und Dienste in mehreren Sprachen anzubieten.
-
Agosti, M.; Braschler, M.; Ferro, N.; Peters, C.; Siebinga, S.: Roadmap for multiLingual information access in the European Library (2007)
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-
Landry, P.: MACS: multilingual access to subject and link management : Extending the Multilingual Capacity of TEL in the EDL Project (2007)
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- Content
- Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
-
Chen, H.-H.; Kuo, J.-J.; Huang, S.-J.; Lin, C.-J.; Wung, H.-C.: ¬A summarization system for Chinese news from multiple sources (2003)
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-
Jensen, N.: Evaluierung von mehrsprachigem Web-Retrieval : Experimente mit dem EuroGOV-Korpus im Rahmen des Cross Language Evaluation Forum (CLEF) (2006)
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-
Gey, F.C.; Kando, N.; Peters, C.: Cross-Language Information Retrieval : the way ahead (2005)
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-
Mitchell, J.S.; Rype, I.; Svanberg, M.: Mixed translation models for the Dewey Decimal Classification (DDC) System (2008)
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- Location
- N
-
Airio, E.; Kettunen, K.: Does dictionary based bilingual retrieval work in a non-normalized index? (2009)
0.01
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- Abstract
- Many operational IR indexes are non-normalized, i.e. no lemmatization or stemming techniques, etc. have been employed in indexing. This poses a challenge for dictionary-based cross-language retrieval (CLIR), because translations are mostly lemmas. In this study, we face the challenge of dictionary-based CLIR in a non-normalized index. We test two optional approaches: FCG (Frequent Case Generation) and s-gramming. The idea of FCG is to automatically generate the most frequent inflected forms for a given lemma. FCG has been tested in monolingual retrieval and has been shown to be a good method for inflected retrieval, especially for highly inflected languages. S-gramming is an approximate string matching technique (an extension of n-gramming). The language pairs in our tests were English-Finnish, English-Swedish, Swedish-Finnish and Finnish-Swedish. Both our approaches performed quite well, but the results varied depending on the language pair. S-gramming and FCG performed quite equally in all the other language pairs except Finnish-Swedish, where s-gramming outperformed FCG.
-
Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000)
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- Date
- 22. 7.2000 17:48:06
-
Chen, H.-H.; Lin, W.-C.; Yang, C.; Lin, W.-H.: Translating-transliterating named entities for multilingual information access (2006)
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- Date
- 4. 6.2006 19:52:22
-
Wang, J.-H.; Teng, J.-W.; Lu, W.-H.; Chien, L.-F.: Exploiting the Web as the multilingual corpus for unknown query translation (2006)
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-
Kulygina, N.: Authority control in a multilanguage catalogue : Russian experience (2005)
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